研究论文
Interpretable causal-based temporal graph convolutional network framework in complex spatio-temporal systems for CCUS-EOR
Bin Shen, Shenglai Yang, Jiangtao Hu, Yiqi Zhang, Lingfeng Zhang, Shanlin Ye, Zhengze Yang, Jiayi Yu 等 10 位
China University of Petroleum, Beijing Taizhou University Imperial College London Research Institute of Petroleum Exploration and Development
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逐年被引趋势
1790
1725
26
关键指标
27
被引次数 · OpenAlex
5.18
领域内被引倍数
同类平均 = 1
同类平均 = 1
前 3%
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同领域 · 同年份 · 同类型
同领域 · 同年份 · 同类型
66
参考文献
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学术脉络
学科主题
物理Atmospheric and Environmental Gas Dynamics
Traffic Prediction and Management Techniques · Time Series Analysis and Forecasting
参考文献 66
Proceedings of the Eleventh Conference on Uncertainty in Artificial Intelligence (1995)
被引 554Philippe Besnard, Steve Hanks · arXiv (Cornell University) · 2013
Quantifying information transfer and mediation along causal pathways in complex systems
被引 68Jakob Runge · Physical Review E · 2015
An Algorithm for Fast Recovery of Sparse Causal Graphs
被引 964Peter Spirtes, Clark Glymour · Social Science Computer Review · 1991
此处列出前 3 条
引用本文 27
Pore-scale modeling of multiple fluids flow transport kinetics for CO2 enhanced gas recovery
被引 48Xinyuan Gao, Shenglai Yang, Beidong Wang · Energy · 2025
Wellbore-reservoir and multiphysics coupling model for liquid CO2 cyclic injection in a CCUS-EGR framework
被引 37Xinyuan Gao, Shenglai Yang, Beidong Wang · Journal of Hydrology · 2025
Advances in Machine-Learning-Driven CO <sub>2</sub> Geological Storage: A Comprehensive Review and Outlook
被引 28Keyao Lin, Ning Wei, Yao Zhang · Energy & Fuels · 2025
按被引量排序，此处列出前 3 条